Selecting Relevant Columns

GVPT399F: Power, Politics, and Data

Select columns with select()

select(gapminder, country, year, pop)
# A tibble: 1,704 × 3
   country      year      pop
   <fct>       <int>    <int>
 1 Afghanistan  1952  8425333
 2 Afghanistan  1957  9240934
 3 Afghanistan  1962 10267083
 4 Afghanistan  1967 11537966
 5 Afghanistan  1972 13079460
 6 Afghanistan  1977 14880372
 7 Afghanistan  1982 12881816
 8 Afghanistan  1987 13867957
 9 Afghanistan  1992 16317921
10 Afghanistan  1997 22227415
# ℹ 1,694 more rows

Select columns with select()

select(gapminder, country:pop)
# A tibble: 1,704 × 5
   country     continent  year lifeExp      pop
   <fct>       <fct>     <int>   <dbl>    <int>
 1 Afghanistan Asia       1952    28.8  8425333
 2 Afghanistan Asia       1957    30.3  9240934
 3 Afghanistan Asia       1962    32.0 10267083
 4 Afghanistan Asia       1967    34.0 11537966
 5 Afghanistan Asia       1972    36.1 13079460
 6 Afghanistan Asia       1977    38.4 14880372
 7 Afghanistan Asia       1982    39.9 12881816
 8 Afghanistan Asia       1987    40.8 13867957
 9 Afghanistan Asia       1992    41.7 16317921
10 Afghanistan Asia       1997    41.8 22227415
# ℹ 1,694 more rows

Select columns with select()

select(gapminder, -(lifeExp:pop))
# A tibble: 1,704 × 4
   country     continent  year gdpPercap
   <fct>       <fct>     <int>     <dbl>
 1 Afghanistan Asia       1952      779.
 2 Afghanistan Asia       1957      821.
 3 Afghanistan Asia       1962      853.
 4 Afghanistan Asia       1967      836.
 5 Afghanistan Asia       1972      740.
 6 Afghanistan Asia       1977      786.
 7 Afghanistan Asia       1982      978.
 8 Afghanistan Asia       1987      852.
 9 Afghanistan Asia       1992      649.
10 Afghanistan Asia       1997      635.
# ℹ 1,694 more rows